Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 890-904 |
| Number of pages | 15 |
| Journal | International Journal of Robust and Nonlinear Control |
| Volume | 18 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2008 |
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Input-to-state stabilizing sub-optimal NMPC with an application to DC-DC converters. / Lazar, M.; Heemels, W.P.M.H.; Roset, B.J.P.; Nijmeijer, H.; Bosch, van den, P.P.J.
In: International Journal of Robust and Nonlinear Control, Vol. 18, No. 8, 2008, p. 890-904.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Input-to-state stabilizing sub-optimal NMPC with an application to DC-DC converters
AU - Lazar, M.
AU - Heemels, W.P.M.H.
AU - Roset, B.J.P.
AU - Nijmeijer, H.
AU - Bosch, van den, P.P.J.
PY - 2008
Y1 - 2008
N2 - This article focuses on the synthesis of computationally friendly sub-optimal nonlinear model predictive control (NMPC) algorithms with guaranteed robust stability. To analyse the robustness of the MPC closed-loop system, we employ the input-to-state stability (ISS) framework. To design ISS sub-optimal NMPC schemes, a new Lyapunov-based method is proposed. ISS is ensured via a set of constraints, which can be specified as a finite number of linear inequalities for input affine nonlinear systems. Furthermore, the method allows for online optimization over the ISS gain of the resulting closed-loop system. The potential of the developed theory for the control of fast nonlinear systems, with sampling periods below 1 ms, is illustrated by applying it to control a Buck-Boost DC-DC converter.
AB - This article focuses on the synthesis of computationally friendly sub-optimal nonlinear model predictive control (NMPC) algorithms with guaranteed robust stability. To analyse the robustness of the MPC closed-loop system, we employ the input-to-state stability (ISS) framework. To design ISS sub-optimal NMPC schemes, a new Lyapunov-based method is proposed. ISS is ensured via a set of constraints, which can be specified as a finite number of linear inequalities for input affine nonlinear systems. Furthermore, the method allows for online optimization over the ISS gain of the resulting closed-loop system. The potential of the developed theory for the control of fast nonlinear systems, with sampling periods below 1 ms, is illustrated by applying it to control a Buck-Boost DC-DC converter.
U2 - 10.1002/rnc.1249
DO - 10.1002/rnc.1249
M3 - Article
VL - 18
SP - 890
EP - 904
JO - International Journal of Robust and Nonlinear Control
JF - International Journal of Robust and Nonlinear Control
SN - 1049-8923
IS - 8
ER -